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Tern : A quick guide to Artificial Intelligence in shipping


Shipping is critical to our modern life. As goods criss-cross around the globe, demand is higher than ever. But there's also a push to make these logistics smarter and more eco friendly. AI can help with that. So, to that end, here's a quick guide to Artificial Intelligence in shipping and how AI can work for you.

A quick guide on conversation management and how to build a chatbot?


Combine Quickwork Journey Builder with Quickwork Chat and you get a combination of automated chatbots and a conversation manager for effective customer service. On Quickwork Journey Builder you can build automated chatbots on messaging platforms like WhatsApp, Telegram, etc., and then connect them with Quickwork Chat to bring in that human support that your customers need. The Multichannel feature allows admins and agents to communicate with customers available on any of the above-mentioned messaging platforms and enables them to view all the conversations in real-time on a single dashboard. On Quickwork chat you can also build a live chat website widget and manage its conversations, Here's a quick 2-minute tutorial on how to build a chatbot for a website: You might be more concerned about getting started than about its functioning. You don't need to worry because Quickwork provides customized solutions for companies that want to use chatbots as an automated customer service tool. With our team of experts, we can integrate your chatbot into a web portal or an app, and program it with natural language processing and natural language understanding capabilities. Once live, the chatbots look and act as an integral part of your online business. In addition to the great visual appeal and features that Quickwork Chat offers, it provides a lot of value.

A Quick Guide to Cross-Entropy Loss Function


One of the most prominent tasks at which Machine Learning has been historically very good at is classifying items (e.g. Especially in recent years, advancements in the hardware capable of executing mathematical models such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs, LSTMs) made it possible to perform a quantum leap (sometimes literally) in performance. However, defining a model is only half of the story. To find the best parameters to perform such a task, it is also necessary to define a cost or loss function that captures the essence of what we want to optimize, and execute some form of gradient descent to reach a suitable set of parameters. To begin with, we need to define a statistical framework that describes our problem.

PyTorch tutorial: a quick guide for new learners


Python is well-established as the go-to language for data science and machine learning, partially thanks to the open-source ML library PyTorch. As its popularity grows, more and more companies are moving from TensorFlow to PyTorch, making now the best time to get started with PyTorch. Today, we'll help understand what makes PyTorch so popular, some basics of using PyTorch, and help you make your first computational models. PyTorch is an open-source machine learning Python library used for deep learning implementations like computer vision (using TorchVision) and natural language processing. It was developed by Facebook's AI research lab (FAIR) in 2016 and has since been adopted across the fields of data science and ML.

BrainyDataScience Science


Key concepts of Machine Learning Everyone should know before starting Practical work in DS. - Duration: 48 minutes. Learn about Regression Analysis and Why, Where we use it - Duration: 20 minutes. Key concepts of Machine Learning Everyone should know before starting Practical work in DS. - Duration: 48 minutes. Learn about Regression Analysis and Why, Where we use it - Duration: 20 minutes. Key concepts of Machine Learning Everyone should know before starting Practical work in DS. - Duration: 48 minutes.

PyTorch for Deep Learning: A Quick Guide for Starters


Since there are multiple optimization schemes to choose from, we just need to choose one for our problem and rest the underlying PyTorch library does the magic for us.

A Quick Guide to Object Tracking: MDNET, GOTURN, ROLO


In today's article, we shall deep dive into video object tracking. Starting from the basics, we shall understand the need for object tracking, and then go through the challenges and algorithmic models to understand visual object tracking, finally, we shall cover the most popular deep learning based approaches to object tracking including MDNET, GOTURN, ROLO etc. This article expects that you are aware of object detection. Object tracking is the process of locating moving objects over time in videos. One can simply ask, why can't we use object detection in each frame in the whole video and we can track the object.

12 quick guides to artificial intelligence (AI)


Artificial intelligence is the science of simulating human intelligence by machines. Machine Learning (ML) is a subset of Artificial Intelligence that is designed to process data sets in a similar fashion as humans--albeit on a much larger scale. Predictive analytics takes historical data and garners insight from that data to predict future outcomes. Deep learning is a machine learning method that processes several layers of data in artificial neural networks to deliver an output. NLP is a sub-field of Artificial Intelligence (AI) that is focused on enabling computers to understand and process human languages and to get computers closer to a human-level understanding of language.